Sramana Mitra: We do content-based marketing largely. Everybody that we encounter finds us through our content. We essentially run a media property and all the ancillary distribution of our media work. We put in as much finesse as possible into that work. Diaz Nesamoney: If you think about personalization, it’s essentially content-driven. We’re just saying,
Sramana Mitra: Can you walk us through some use cases? You talked about Claritin and the allergy season as one set of identifiers around which you are personalizing. What are some other examples? Diaz Nesamoney: The hotels, for example, are looking at multiple such data points. The loyalty program says a lot about you. They
Sramana Mitra: Talk to us a little bit about all these different data sources. What are the strengths and weaknesses? What level of depth can you find? Diaz Nesamoney: The differences and, arguably, the challenges with data is two-fold. One is some data is essentially not very accurate because it’s based on projections or modeling.
Sramana Mitra: The engine that you are selling sits on your end and the customer basically buys it in a cloud mode? Is it a managed service? Diaz Nesamoney: It can be either way. The software and the technology sits on the cloud. That’s what allows us to scale across hundreds of customers and massive
Sramana Mitra: Where does the data come from? Where are you getting the data on which you are running your personalization? Diaz Nesamoney: We work directly with brands. Let’s take, for example, a large hotel chain. A lot of the people would go to the hotel chain website. There’s a tremendous amount of data there.
Diaz is a 3x serial entrepreneur. He was a co-founder of Informatica with Gaurav Dhillon. In Jivox, Diaz is working personalization into digital advertising using AI techniques including Machine Learning. A great discussion about the future of digital advertising. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to the company.